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• Parameters: The maximum allowable time to cover a distance in seconds (time), the distance to be covered in meters (distance), the list of pitches map of elevations that the car must travel (e_profile), the minimum allowable velocity (min_velocity), and the list of indices where the car must stop (stop_profile)

• Returns: initial_profile : A map of the same dimensions as the map of elevations with each element representing the average velocity required for the car to move at each point on the map of elevations (initial_profile).

• Ex. initial_profile[2] = 10 means that according to the initial profile, the car should be moving 10 m/s at point 3 (Index 2) on the map of elevations.

• This function basically generates the naive/initial solution that will be improved upon through the optimization function later in the program.

• Only three possible velocity values are stored in initial_profile.

  • Cruise avg_velocity when we can

  • When we can't, we just go max_v or min_velocity

MAIN (functions below are inside main):

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• Parameters: The velocity profile (v_profile)

• Returns: Time spent driving as a result of moving at the stated velocities in v_profile throughout each point on the map of elevations subtracted from the maximum allowable time by the competition. (time-sum(time_used))

• Basically returns how much more time we used than is allowed.

• Time used by the v-profile shouldn’t be greater than the maximum time allowed by the competition.

• Used as a constraint for the optimization function later in the program.

speed_constraint()

• Parameters: The velocity profile (v_profile)

• Returns: The negative sum of how much the car’s velocity in v_profile is greater than the maximum velocity at each point in the map of elevations (error)

• If the velocity in v_profile isn’t greater than the maximum velocity at a certain point, the error variable will not be incremented.

• The maximum velocity is calculated by calling the max_velocity function from car_model.py